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About

Samarjit Chakraborty is a leading figure in the design and analysis of embedded and cyber-physical systems (CPS), with a particular focus on real-time systems, timing verification, and energy optimization. His work bridges the gap between theoretical guarantees and practical implementation, addressing critical challenges in domains ranging from industrial automation to autonomous vehicles. A key contribution is his research on statistical verification of autonomous system controllers under timing uncertainties (2024), which provides rigorous methods for ensuring safety despite unpredictable execution times. He has also pioneered energy optimization techniques for FPGA-based real-time systems, as seen in his work on "Insert & Save" (2021), which tackles thermal and power constraints in battery-powered environments. In the realm of vehicular CPS, Chakraborty’s recent work on safety-driven DNN sizing (2025) offers a novel approach to balancing perception accuracy with computational efficiency. His earlier research on GigE Vision data acquisition for visual servoing (2016) has practical implications for robotics, enabling real-time camera-based control. With over 15 citations for his seminal book chapter "Advances in Real-Time Systems" (2012), Chakraborty’s research continues to shape the future of safe, efficient, and predictable autonomous systems.